Skip to content

monika14r-m/WaveDecode

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 

Repository files navigation

WaveDecode

WaveDecode is an SDR-powered signal intelligence platform designed to capture, analyze, visualize, and classify radio frequency transmissions.

Overview

WaveDecode processes IQ samples from Software Defined Radio (SDR) devices and extracts useful information about detected signals.

The project aims to provide:

  • Signal detection
  • Spectrum analysis
  • Waterfall visualization
  • Frequency identification
  • Modulation classification
  • RF intelligence workflows

Architecture

SDR Device
    │
    ▼
IQ Samples
    │
    ▼
FFT Processing
    │
    ▼
Signal Detection
    │
    ▼
Classification Engine
    │
    ▼
Visualization Dashboard

Roadmap

Version 1

  • Project structure
  • IQ sample simulator
  • FFT processing
  • Spectrum visualization

Version 2

  • RTL-SDR integration
  • Signal detection
  • Waterfall display

Version 3

  • Signal classification
  • Dataset generation
  • Dashboard

Version 4

  • Machine learning classifier
  • Threat intelligence features

Status

🚧 Under active development.

About

WaveDecode is an SDR-based signal analysis toolkit that captures, processes, and visualizes radio frequency signals using FFT-based spectrum analysis and signal detection techniques.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages